Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
AI Does not Have to Be Too Complicated or Expensive for Your Business
2
Zitationen
1
Autoren
2021
Jahr
Abstract
AI Does not Have to Be Too Complicated or Expensive for Your BusinessSummary.For most companies that are interested in using AI, there isn't a clear model to follow.The approach to building AI used by massive internet companies like Amazon and Google just doesn't translate -most companies don't have overflowing troves of data they can...more Despite the vast potential of artificial intelligence (AI), it hasn't caught hold in most industries.Sure, it has transformed consumer internet companies such as Google, Baidu, and Amazon -all massive and data-rich with hundreds of millions of users.But for projections that AI will create $13 trillion of value a year to come true, industries such as manufacturing, agriculture, and healthcare still need to find ways to
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.239 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.095 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.463 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.428 Zit.